entropy-logo

Journal Browser

Journal Browser

Entropy-Based Applications in Sociophysics, Third Edition

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 1611

Editor


E-Mail Website
Guest Editor
Department of Physics, Federal University of Piauí (UFPI), Teresina 64049550, Brazil
Interests: monte carlo simulation; networks; critical exponents; disorder and Ising models
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The study of sociophysics has greatly increased in the last two decades. The models used in sociophysics mainly envisage the macroscopic dynamics of social systems or/and networks. Then, the statistical physics tools successfully applied in treating diverse systems in the physical world are used to find extensive applications in problems related to such topics. Stauffer, in 2012, raised an interesting and rather fundamental question: does sociophysics have any practical applications? The answer came in 2017, from Galam, with a model that uses local-majority-rule arguments and obeys threshold dynamics. Within this perspective, the dynamics of opinions obey discoverable universal quantitative laws and can be modelled in the same way that scientists model the physical world. As a consequence, inspiring very active practitioners, opinion-dynamics models have become a mainstream of research in sociophysics. In these models, opinion entropy, based on Shannon entropy, is a useful tool to evaluate the uncertainty of opinions, when exploring the dynamics of opinion entropy and “controlling” the formation of public opinion.

As a result of cross-fertilization, mixed research fields use knowledge, methodologies, methods and tools of (statistical) physics (and thermodynamics) for modelling, explaining and forecasting social phenomena. Needless to say, there are many concepts that have not been used or objectives that have not yet been considered.

Moving forward, we wish to provide researchers with the opportunity to present studies that provide not only standard statistical physics modelling techniques but also rather novel ways of analyses, sourced from entropy, from which arise complex, theoretical and practical ideas.

Thus, this Special Issue is intended to contain articles of prominent and creative researchers in the field of sociophysics. We hope that this Special Issue will be an inspiration in these fascinating areas of broadly understood modern and challenging applications of (statistical) physics and thermodynamics ideas and concepts.

Dr. Francisco W. De Sousa Lima
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • opinion dynamics
  • votes
  • consensus
  • econophysics
  • networks
  • agent-based models
  • phase transitions
  • equilibrium and non-equilibrium concepts

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issues

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

12 pages, 892 KB  
Article
Ratio-Dependent Contrarian Activation in Opinion Dynamics
by Serge Galam
Entropy 2026, 28(4), 443; https://doi.org/10.3390/e28040443 - 14 Apr 2026
Cited by 1 | Viewed by 556
Abstract
I study the impact of mixed contrarians on the opinion dynamics of a heterogenous population with conformists using the Galam Majority Model. Activation of contrarians is a function of the majority/minority ratio in the local groups of discussion. Restricting the group size to [...] Read more.
I study the impact of mixed contrarians on the opinion dynamics of a heterogenous population with conformists using the Galam Majority Model. Activation of contrarians is a function of the majority/minority ratio in the local groups of discussion. Restricting the group size to 3, two types of contrarians are included in respective proportions c3,0 for configurations with ratio 3 to 0 and c2,1 for ratio 2 to 1. I then derive the explicit update equation and analytically obtain the fixed points, their stability, and the resulting full two-dimensional landscape of the dynamics of opinion. Setting c3,0=c2,1=c recovers the original results obtained with uniform contrarians. The findings allow for considering a wide spectrum of new disruptive strategies to secure either a majority/minority ending ensuring the opinion having the larger initial support to win, or a single attractor dynamics at fifty/fifty, which implies a random winner regardless of initial supports. Full article
(This article belongs to the Special Issue Entropy-Based Applications in Sociophysics, Third Edition)
Show Figures

Figure 1

13 pages, 6602 KB  
Article
Deep Learning of the Biswas–Chatterjee–Sen Model
by José F. S. Neto, David S. M. Alencar, Lenilson T. Brito, Gladstone A. Alves, Francisco Welington S. Lima, Antônio M. Filho, Ronan S. Ferreira and Tayroni F. A. Alves
Entropy 2025, 27(11), 1173; https://doi.org/10.3390/e27111173 - 20 Nov 2025
Cited by 1 | Viewed by 656
Abstract
We investigate the critical properties of kinetic continuous opinion dynamics using deep learning techniques. The system consists of N continuous spin variables in the interval [1,1]. Dense neural networks are trained on spin configuration data generated via [...] Read more.
We investigate the critical properties of kinetic continuous opinion dynamics using deep learning techniques. The system consists of N continuous spin variables in the interval [1,1]. Dense neural networks are trained on spin configuration data generated via kinetic Monte Carlo simulations, accurately identifying the critical point on both square and triangular lattices. Classical unsupervised learning with principal component analysis reproduces the magnetization and allows estimation of critical exponents. Additionally, variational autoencoders are implemented to study the phase transition through the loss function, which behaves as an order parameter. A correlation function between real and reconstructed data is defined and found to be universal at the critical point. Full article
(This article belongs to the Special Issue Entropy-Based Applications in Sociophysics, Third Edition)
Show Figures

Figure 1

Back to TopTop